مورد إلكتروني
Soccer Player Tracking, Re-Identification, Camera Calibration and Action Spotting - SoccerNet Challenge 2022
العنوان: | Soccer Player Tracking, Re-Identification, Camera Calibration and Action Spotting - SoccerNet Challenge 2022 |
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المؤلفون: | Cioppa, Anthony, Deliège, Adrien, Giancola, Silvio, Magera, Floriane, Somers, Vladimir, Cheng, Zhiyu, Kang, Le, Zhou, Xin, Ghanem, Bernard, Van Droogenbroeck, Marc |
المساهمون: | Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science ; Telim, TELIM |
المصدر: | ACAD Research presentation |
سنة النشر: | 2022 |
مصطلحات موضوعية: | Soccer, Deep learning, Dataset, Tracking, Re-identification, Calibration, Action, Spotting, Grounding, Football, Challenge, Sports, Sport, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques |
الوصف: | In this video, we present our new SoccerNet Challenges for CVPR 2022! We introduce the three tasks of calibration, re-identification and tracking on soccer games, in partnership with EVS Broadcast Equipment, SportRadar and Baidu Research. We also reiterate our previous action spotting and replay grounding Challenge at the ActivityNet workshop. DeepSport |
نوع الوثيقة: | lecture http://purl.org/coar/resource_type/c_8544 lecture |
اللغة: | English |
Relation: | https://youtu.be/tA9E1hkiyB0 |
URL الوصول: | https://orbi.uliege.be/handle/2268/267308 |
رقم الأكسشن: | edsorb.267308 |
قاعدة البيانات: | ORBi |
الوصف غير متاح. |